Iterative Fitting Binary Classification Model¶

class caliber.binary_classification.iterative_fitting.base.IterativeFittingBinaryClassificationModel(max_rounds=1000, split=0.8, seed=0, loss_fn=log_loss, early_stopping_loss_fn=log_loss, n_bins=10)[source]¶

fit(probs, targets, groups=None)[source]¶

Return type:: dict

predict(probs, groups=None)[source]¶

Return type:: ndarray

predict_proba(probs, groups=None)[source]¶

Return type:: ndarray